A NEURAL NETWORK ALGORITHM FOR CORE LOCATION ANALYSIS AT LARGE EXTENDED AIR SHOWER ARRAYS

被引：10

作者：

MAYER, HJ

机构：

[1] Kernforschungszentrum Karlsruhe, Institut für Kernphysik I, Karlsruhe

来源：

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 1992年 / 317卷 / 1-2期

关键词：

D O I：

10.1016/0168-9002(92)90627-G

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

A neural network algorithm for core location analysis at large extended air shower arrays is described. The algorithm combines high efficiency for the identification of the shower core with good rejection capability for showers that fall outside the array. In addition it offers an easy possibility to identify events with subcores. The algorithm is fast and can also be used in an on-line preanalysis procedure.

引用

页码：339 / 345

页数：7

共 7 条

[1]

CAPDEVIELLE JN, 1990, 21ST P INT COSM RAY

[2] NEURAL NETWORKS AND CELLULAR AUTOMATA IN EXPERIMENTAL HIGH-ENERGY PHYSICS [J].